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Senior Data Engineer (Databricks & Power BI)

Hybrid in Vietnam
Data Software Engineering& 5 others
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We are building a Vietnam-based team and need a Senior Data Engineer with Databricks and Power BI to create scalable lakehouse pipelines and trusted reporting. You will define data models, deliver Databricks workflows with Python/PySpark, and strengthen governance and security for production Power BI. Apply now to help keep analytics fast and dependable.

Responsibilities
  • Translate business questions into BI designs and analytics-ready data models
  • Design and optimize Power BI dashboards, reports, datasets, and semantic models
  • Develop production pipelines in Databricks using Python, PySpark, and SQL
  • Implement Medallion Architecture lakehouse patterns across layers
  • Lead release management using Git, Power BI Deployment Pipelines, and CI/CD practices
  • Implement access controls with RLS, RBAC, and Unity Catalog governance
  • Investigate data and reporting issues, tune performance, and improve data quality
Requirements
  • Extensive Power BI experience using Power BI Desktop and Power BI Service
  • Strong DAX expertise, including troubleshooting and performance tuning
  • Hands-on ability with Power Query (M) for data shaping and transformation
  • High SQL proficiency for complex queries, transformations, and analytical modeling
  • Proven hands-on Python experience for maintainable data solution development
  • Solid PySpark capability to build scalable transformations in Databricks
  • Demonstrated Databricks experience delivering lakehouse pipelines and production workloads
  • Experience with Git-based version control and structured release/deployment practices
Nice to have
  • Knowledge of Databricks Asset Bundles and YAML-based workflow configuration
  • Experience with GitHub Actions or similar CI/CD tooling for validation and deployment
  • Familiarity with Azure Data Lake Storage and secrets management approaches